TianHongZXY / RLVR-DecomposedLinks
[NeurIPS 2025] Implementation for the paper "The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning"
☆150Updated 2 months ago
Alternatives and similar repositories for RLVR-Decomposed
Users that are interested in RLVR-Decomposed are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.☆134Updated 9 months ago
- [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style☆73Updated 5 months ago
- ☆51Updated last year
- ☆220Updated 9 months ago
- Repo of paper "Free Process Rewards without Process Labels"☆168Updated 10 months ago
- [ACL' 25] The official code repository for PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models.☆87Updated 11 months ago
- [2025-TMLR] A Survey on the Honesty of Large Language Models☆64Updated last year
- Official repository for ACL 2025 paper "ProcessBench: Identifying Process Errors in Mathematical Reasoning"☆182Updated 7 months ago
- [NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct☆191Updated last year
- Model merging is a highly efficient approach for long-to-short reasoning.☆96Updated 3 months ago
- A Sober Look at Language Model Reasoning☆92Updated last month
- Resources for the Enigmata Project.☆74Updated 5 months ago
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆76Updated 3 months ago
- [NeurIPS'24] Official code for *🎯DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving*☆119Updated last year
- This is the official implementation of the paper "S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning"☆72Updated 8 months ago
- ☆348Updated 5 months ago
- ☆204Updated 3 weeks ago
- ☆213Updated 10 months ago
- Laser: Learn to Reason Efficiently with Adaptive Length-based Reward Shaping☆62Updated 7 months ago
- [ICML 2025] Teaching Language Models to Critique via Reinforcement Learning☆119Updated 8 months ago
- Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement (EMNLP 2024 Main Conference)☆65Updated last year
- The rule-based evaluation subset and code implementation of Omni-MATH☆26Updated last year
- RM-R1: Unleashing the Reasoning Potential of Reward Models☆155Updated 6 months ago
- [ACL 2025] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLM…☆67Updated last year
- Implementation for the research paper "Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision".☆55Updated last year
- L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning☆257Updated 8 months ago
- Reference implementation for Token-level Direct Preference Optimization(TDPO)☆151Updated 11 months ago
- [EMNLP 2025] LightThinker: Thinking Step-by-Step Compression☆127Updated 9 months ago
- The official repository of the Omni-MATH benchmark.☆91Updated last year
- ☆53Updated 7 months ago